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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 13646
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    Explanations

    technical terms related to performance optimization

    oai_token-act-pair · gpt-3.5-turbo

    references to performance metrics in data processing and computing contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    shi
    -0.89
    ril
    -0.89
    sonian
    -0.84
    idan
    -0.80
    jon
    -0.74
    ovie
    -0.74
    SHIP
    -0.73
    bara
    -0.73
    bery
    -0.72
    een
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    POSITIVE LOGITS
     optimizations
    1.18
     optimization
    1.15
     improvements
    1.12
     enhancement
    1.09
     enhancements
    1.08
     improvement
    1.05
     enhancing
    1.01
     regress
    1.00
     degradation
    1.00
     Improvements
    0.98
    Activations Density 0.044%

    No Known Activations